Managing container registries and containers

Azure Machine Learning provides an integrated, end-to-end data science workflow, enabling data scientists and developers to prepare data, experiment with models, and then deploy them in a scalable environment. A pivotal aspect of this deployment process involves containerization, which brings us to Azure Container Registry (ACR). ACR is a managed, private Docker container registry service based on the open source Docker Registry 2.0. ACR allows users to build, store, and manage container images and artifacts in a secure and scalable manner within Azure. ACR integrates well with existing container development and deployment pipelines, and it’s especially useful for storing and managing the custom Docker images that can be deployed in various Azure services.

When working with Azure Machine Learning, there’s an underlying process that packages models for deployment. This packaging involves creating a Docker image that contains...